Robyn Laura Kosinsky
- Aging top 5%
- Molecular Biology top 10%
- Ubiquitin and proteasome pathways 7
- Epigenetics and DNA Methylation 5
- RNA modifications and cancer 5
- Single-cell and spatial transcriptomics 3
- Muscle Physiology and Disorders 3
- Physiology top 10%
- Telomeres, Telomerase, and Senescence 5
- Immunology top 10%
- Immune Cell Function and Interaction 5
-
- Bone health and treatments 3
- Co-authors
- Dominik SaulSteven A. JohnsenFlorian WegwitzMadison L. DoolittleDavid G. MonroeJoshua N. FarrSundeep KhoslaLaura J. Niedernhofer
- Cited by
- AgingMolecular BiologyPhysiology
- Journals
- Clinical Epigenetics (3 papers)Cell Death and Differentiation (3 papers)Cell Death and Disease (2 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Robyn Laura Kosinsky
34 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Aging 71
- Molecular Biology 841
- Physiology 297
- Immunology 233
- Cancer Research 136
Countries citing papers authored by Robyn Laura Kosinsky
This map shows the geographic impact of Robyn Laura Kosinsky's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Robyn Laura Kosinsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robyn Laura Kosinsky more than expected).
Fields of papers citing papers by Robyn Laura Kosinsky
This network shows the impact of papers produced by Robyn Laura Kosinsky. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Robyn Laura Kosinsky. The network helps show where Robyn Laura Kosinsky may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Robyn Laura Kosinsky, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 17 | |
| 2 | 2024 | 7 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 9 | |
| 5 | 2022 | 8 | |
| 6 | 2022 | 12 | |
| 7 | A new gene set identifies senescent cells and predicts senescence-associated pathways across tissuesbreakdown → | 2022 | 453 |
| 8 | 2021 | 16 | |
| 9 | 2021 | 29 | |
| 10 | 2021 | 19 | |
| 11 | 2021 | 44 | |
| 12 | 2020 | 19 | |
| 13 | 2020 | 14 | |
| 14 | 2019 | 33 | |
| 15 | 2019 | 49 | |
| 16 | 2019 | 40 | |
| 17 | 2017 | 65 | |
| 18 | 2017 | 12 | |
| 19 | 2017 | 42 | |
| 20 | 2017 | 23 |
About Robyn Laura Kosinsky
Robyn Laura Kosinsky is a scholar working on Aging, Molecular Biology and Oncology, having authored 34 papers that have together received 1.3k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (7 papers), Epigenetics and DNA Methylation (5 papers), Immune Cell Function and Interaction (5 papers), RNA modifications and cancer (5 papers), Telomeres, Telomerase, and Senescence (5 papers), Bone health and treatments (3 papers), Single-cell and spatial transcriptomics (3 papers) and Muscle Physiology and Disorders (3 papers). The work is most often cited by research in Aging (71 citations), Molecular Biology (841 citations) and Physiology (297 citations). Robyn Laura Kosinsky has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Dominik Saul, Steven A. Johnsen, Florian Wegwitz, Madison L. Doolittle, David G. Monroe, Joshua N. Farr, Sundeep Khosla, Laura J. Niedernhofer, Tamar Tchkonia and Diana Jurk. Their work appears in journals such as Clinical Epigenetics, Cell Death and Differentiation, Cell Death and Disease, Journal of Clinical Investigation and International Journal of Molecular Sciences.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.